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Additional file 6: of Prognostic models for breast cancer: a systematic review

Name: Additional file 6: of Prognostic models for breast cancer: a systematic review
Creator: J. Elwood; Sandar Tin Tin
Published: 2019-03-15T00:00:00+08:00

Figshare2019-03-15 更新2026-04-08 收录

癌症预后模型

模型外部验证

数据链接：

https://springernature.figshare.com/articles/Additional_file_6_of_Prognostic_models_for_breast_cancer_a_systematic_review/7850285/1 数据链接链接失效反馈

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资源简介：

Articles that presented model external validation. (XLSX 39 kb)

应用场景：

提供机构：

J. Elwood; Sandar Tin Tin

创建时间：

2019-03-15

乳腺癌多组学

癌症预后模型

This dataset consists of the processed multi-omics data and clinical labels used for training and evaluating Moanna (https://github.com/rlupat/moanna). This dataset is processed based on raw files dow

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Table3_Integration of single-cell and bulk RNA-seq to establish a predictive signature based on the differentiation trajectory of M2 macrophages in lung adenocarcinoma.XLSX

癌症预后模型

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Background: Tumor-associated macrophages as important members of the tumor microenvironment, are highly plastic and heterogeneous. TAMs can be classified into two preliminary subtypes: M1 and M2 macro

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Data_Sheet_1_Prediction Models for Prognosis of Cervical Cancer: Systematic Review and Critical Appraisal.XLSX

癌症预后模型

预测模型

Objective: This work aims to systematically identify, describe, and appraise all prognostic models for cervical cancer and provide a reference for clinical practice and future research. Methods: We sy

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original data and source code for manuscript in MOBI titled "Expression of the immunogenic cell death-associated gene signature predicts prognosis and therapy sensitivity of ovarian cancer” (Number: MOBI-D-23-01444)

癌症预后模型

免疫治疗生物标志物

I provide a comprehensive overview of the characteristic of immunogenic cell death-associated genes in ovarian cancer. By employing univariate and multivariate Cox regression and LASSO regression anal

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Construct a prognostic mode

癌症预后模型

宿主基因-微生物组关联

In this study, 150 host genes associated with the Firmicutes phylum were selected to construct a prognostic model. Univariate Cox regression analysis (with a significance level of P< 0.05) was empl

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Additional file 6: of Prognostic models for breast cancer: a systematic review

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